Computational Core

摘要-计算核心 拟议的计算核心将为以下所有项目提供理论和建模实践方面的专业知识 中心。在任何时候，都会有至少一名核心的博士后或研究生积极接触 对于每个项目。项目绩效指标和建模核心之间的每月定期会议将有助于澄清 增强集成的每个项目的实验和建模目标。实验的意义 建模结果将在这些会议上讨论，未来的实验和建模工作将 有计划的。计算核心还将积极开发用户友好的软件包，以协助数据 集合，以及用于运行非专家模拟的MatLab例程和软件。上的教程 建模概念、建模结果和开发的软件也将在中心范围的务虚会上进行 作为中心研讨会，一年两次。所有开发的软件包都将提供给研究人员使用 在中心以及更大的社区中。计算的目标是：(1)开发三维 同时模拟反应-扩散-平流单胞迁移的计算框架 复杂生化信号通路的方程式。(2)搭建仿真计算平台 相互作用的运动细胞的离散数量。结合关键物理参数以及粗粒度 生化信号通路的建模。(3)从单细胞离散模型到三维连续体的桥梁 模拟多细胞群迁移的算法。

Summary - Computational Core The proposed computational core will provide theory and modeling hands-on expertise to all of the projects in the Center. At any time, there will be at least one postdoc or graduate student of the Core actively interfacing with each project. Regular monthly meetings between project PIs and the modeling core will help to clarify the experimental and modeling objectives of each project for enhanced integration. Significance of experimental and modeling results will be discussed at these meetings, and future experiments and modeling work will be planned. The computational core will also actively develop user-friendly software packages for assisting data collection, as well as Matlab routines and software for running simulations by non-experts. Tutorials on modeling concepts, modeling results, and developed software will be conducted at center-wide retreats as well as center symposia twice a year. All of the developed software packages will be made available to researchers in the Center as well as the larger community. The aims of the computational aims are: (1) Develop a 3D computational framework for simulating single-cell migration simultaneously with reaction-diffusion-advection equations for complex biochemical signaling pathways. (2) Construct a computational platform for simulating discrete numbers of interacting motile cells. Incorporate key physical parameters as well as coarse-grained modeling of biochemical signaling pathways. (3) Bridge from discrete models of single cells to 3D continuum algorithms for simulating the migration of multicellular groups.